Senior Product Analyst
About CREXi
CREXi is the commercial real estate industry’s fastest growing marketplace, data, and technology platform. We’re dedicated to making commercial real estate easy for the industry and its stakeholders. Using technology, we enable commercial real estate professionals to streamline the process of managing and growing their businesses. Since launching in 2015, we have become the most active marketplace in commercial real estate. We’ve helped CRE professionals transact on over 200,000 commercial listings totaling more than $800 billion in property value.
Data & Analytics at CREXi is responsible for leveraging data from multiple sources to drive product and business decisions in order to realize our mission of making commercial real estate transactions easy. As a Senior Product Analyst, you will be leveraging analytical tools to identify key product insights and drive product decisions.
What You’ll Do
- Use data to drive actionable insights across the CREXi platform
- Work on cross-functional product teams, including PM, PD, Eng to launch and measure new and existing features
- Identify and analyze key metrics for the product
- Analyze user behaviors of the CREXi product
- Build dashboards that effectively articulate your analyses
- Conduct ad hoc analyses to support product and company decisions
- Work both independently and collaboratively to deliver creative solutions to complex problems
- Flexibility in working in a constantly changing and fast paced culture
Who You Are
- 3+ years experience in a product analyst role
- Passionate about building great products and CREXi’s mission
- Strong analytical and problem-solving skills with experience using data and providing product insights
- Experience with a product analytics tool (e.g. Mixpanel, Amplitude)
- Experience with SQL
- Experience with Excel, Powerpoint or similar tools
- Experience with Tableau
- Persuasive communicator and effective in soliciting and accepting feedback
- Steeped in grit, you do whatever it takes to get stuff done
- You are respected by your team by exhibiting great leadership and doing great work
Nice To Have
- Prior experience with programming using tools such as Python, R, Matlab, SPSS or SAS
- Prior statistical modeling and machine learning experience